40 citations · 91 across the 27 of their papers we have counts for
8 papers · 1 filter
Enhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential Information
Kuan Xu, Zeyu Jiang, Haozhi Cao +3
Scene Coordinate Regression (SCR) is a visual localization technique that utilizes deep neural networks (DNN) to directly regress 2D-3D correspondences for camera pose estimation.…
UniRiT: Towards Few-Shot Non-Rigid Point Cloud Registration
Geng Li, Haozhi Cao, Mingyang Liu +2
Non-rigid point cloud registration is a critical challenge in 3D scene understanding, particularly in surgical navigation. Although existing methods achieve excellent performance w…
Enhancing Dataset Distillation via Label Inconsistency Elimination and Learning Pattern Refinement
Chuhao Zhou, Chenxi Jiang, Yi Xie +2
Dataset Distillation (DD) seeks to create a condensed dataset that, when used to train a model, enables the model to achieve performance similar to that of a model trained on the e…
SGBA: Semantic Gaussian Mixture Model-Based LiDAR Bundle Adjustment
Xingyu Ji, Shenghai Yuan, Jianping Li +3
LiDAR bundle adjustment (BA) is an effective approach to reduce the drifts in pose estimation from the front-end. Existing works on LiDAR BA usually rely on predefined geometric fe…
GERA: Geometric Embedding for Efficient Point Registration Analysis
Geng Li, Haozhi Cao, Mingyang Liu +2
Point cloud registration aims to provide estimated transformations to align point clouds, which plays a crucial role in pose estimation of various navigation systems, such as surgi…
AIR-Embodied: An Efficient Active 3DGS-based Interaction and Reconstruction Framework with Embodied Large Language Model
Zhenghao Qi, Shenghai Yuan, Fen Liu +4
Recent advancements in 3D reconstruction and neural rendering have enhanced the creation of high-quality digital assets, yet existing methods struggle to generalize across varying…